Then analysed and introduced detailedly the theory of fuzzy logic control , and applied it to robot follow track control . it did not depend on the exact mathematical model and could solve effectively the influence of nonlinear and uncertainty 然后,详细分析和介绍了模糊控制的基本原理,并将其应用于机器人轨迹跟踪控制中,它不依赖于对象的精确的数学模型,能有效地克服被控对象存在的非线性和不确定性的影响。
The main research work of the thesis is summarized as follows : 1 . the improved fuzzy logic control method the phenomenon of steady - state errors and flutter exists in the traditional fuzzy controller . an improved fuzzy controller without quantilizing is presented 地形跟随飞行控制律设计针对某型飞机应用控制航迹角法和控制法向加速度法对不同的反馈信号分别设计了pi控制器和模糊控制器,并做了仿真比较与鲁棒性验证。
Fuzzy logic control ( flc ) has been extensively researched since zadeh published his creative paper in 1965 , the fuzzy sets theory is different from the traditional mathematics and control theory , the flc is simple , flexible , intelligent 自从1965年美国著名学者扎德发表了开创性的论文以来,首次提出了一种完全不同于传统数学与控制理论的模糊集合理论,从此模糊理论凭借其简单、灵活、智能化、应用面广的特点,得到了越来越广泛的研究与应用。
In this paper , the method of fuzzy logic control is used in the design of the control laws for an automatic terrain following flight control system . the shortcoming of the traditional fuzzy logic controller is overcome and an improved method is presented 本论文主要是将模糊控制方法应用到地形跟随的控制律设计当中。本论文的主要工作如下: 1模糊控制算法的改进针对常规模糊控制器所出现的稳态误差和稳态颤振现象,提出一种非量化的模糊控制算法,克服了其缺点。
The main aim of this dissertation is to fuse the fuzzy logic control technology and decentralized control theory of large - scale system to develop a systematic design methodology that guaranteeing some basic requirements , such as stability and acceptable performance , for nonlinear interconnected fuzzy large - scale systems 本论文的主要目的是将模糊控制技术与大系统分散控制理论相结合,建立一套系统化的非线性关联模糊大系统稳定性分析与性能设计的有效方法。